EECONOMIC AND ENVIRONOMENTAL EFFICIENCY OF BUFFALO BREEDER IN NINEVEH PROVINCE BY USIN OF DATA ENVELOPMENT ANALYSIS (DEA) | ||
| Mesopotamia Journal of Agriculture | ||
| Article 1, Volume 40, Issue 0, January 2012, Pages 38-45 PDF (0 K) | ||
| DOI: 10.33899/magrj.2012.69155 | ||
| Authors | ||
| Salim Al-Niamy; F .Abd; Zowid Fathi | ||
| College of Agriculture and Forestry- Mosul University | ||
| Abstract | ||
| Farms of buffalo Breeding are of important agricultural activities with good economic return. Buffalo first is breeded to produce milk and numbers of Buffalo in Badush area (study case) representing about 50% of their total number in Nineveh province. The research handles the level of economic and environmental efficiency for breeder in study sample of 69 farms. The research depends on the style of field questioner in getting necessary data. Levels of economic and Environmental efficiency are estimated by using of data enveloping analysis from input oriented supposing the variable return to scale .estimation results by Data Enveloping Analysis have shown that economic efficiency reached the middle 67.7 % and number of farms achieved the complete economic efficiency (3) farms forming a ratio about 4.34% of the total farms of paper sample while the middle environmental efficiency 90 % and number of farms achieved the complete environmental efficiency (27) farms forming a ratio about 39 % . and the study found some of the conclusions and recommendations of the most important move away most of the breeders for access using their resources to best use the consequent waste in quantities of economic resources used and the rise in production costs and at different rates, and dairy buffaloes is almost devoid of harmful substances environmentally result of high environmental Farms Ulkipa sample for this study recommends the need for optimal utilization of economic resources and to achieve the optimum economic efficiency and the need to preserve the environment and buffalo breeding to ensure the safety of water and air pollution . | ||
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